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competitive ERC. The project focuses on the development of a first-principles, machine-learning-accelerated computational framework for modelling polymorphism, anharmonicity, and electron–phonon interactions in
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engineering, computer science, or public health. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning and statistical modeling. The ability
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scientists and companies working in liposome technology, cell-free protein production, sensor development, clinical nephrology, and medical decision-making. Where to apply Website https
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19 Dec 2025 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Biological Engineering Department Research Field Biological sciences » Biological engineering
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interdisciplinary, with expertise in molecular microbiology, structural biology, bioinformatics, and protein engineering, and currently includes the PI, a PhD student, and a research expert in bioinformatics
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that preserves object identity or style. They should have a solid publication record in top-tier computer vision conferences such as CVPR, ICCV, or ECCV, and demonstrate proficiency in deep learning frameworks
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(IST) Experience Early Skills and Qualifications PhD in Physics, Electrical and Computer Engineering Degree PhD Employment Type Full Time About the position A research position for one Research Grant
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-off companies. CONTEXT AND MISSION We are seeking a postdoc to join the Quantum Machine Learning team (QML-CVC) in beautiful Barcelona. The QML-CVC team (https://qml.cvc.uab.es /) is part of
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salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data